Showing 5 open source projects for "swiss file knife"

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  • 1
    pycm

    pycm

    Multi-class confusion matrix library in Python

    PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers.
    Downloads: 0 This Week
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  • 2
    mindflow

    mindflow

    AI-powered CLI git wrapper, boilerplate code generator, chat history

    I-powered CLI git wrapper, boilerplate code generator, chat history manager, and code search engine to streamline your dev workflow. The ChatGPT-powered swiss army knife for the modern developer! We provide an AI-powered CLI git wrapper, boilerplate code generator, code search engine, a conversation history manager, and much more! Configure the model used for generating responses by running mf config and selecting either GPT 3.5 Turbo (default) or GPT 4. In order to use GPT 4, you'll need...
    Downloads: 0 This Week
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  • 3
    mlpack

    mlpack

    mlpack: a scalable C++ machine learning library

    mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear...
    Downloads: 1 This Week
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  • 4
    Karate Club

    Karate Club

    An API Oriented Open-source Python Framework for Unsupervised Learning

    Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph-structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science...
    Downloads: 0 This Week
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    The #1 Embedded Analytics Solution for SaaS Teams.

    Qrvey saves engineering teams time and money with a turnkey multi-tenant solution connecting your data warehouse to your SaaS application.

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  • 5
    The Swiss army knife of scope underspecification tools. It solves underspecified descriptions and converts between different description formalisms.
    Downloads: 0 This Week
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